The AI trade is entering a more volatile phase where investors must become highly selective, as the days of indiscriminate gains are over. After a brutal week for tech stocks from Seoul to New York, triggered by fears over chip demand, inflation, and extreme investor positioning, the core thesis for AI remains intact but the path forward is far rockier. South Korea’s Kospi plunged 10% in a single session, while the Nasdaq 100 suffered its second-worst day of the year, before a brief relief rally from Micron’s blowout outlook was quickly erased by fresh inflation concerns from Microsoft and Apple price hikes.
The cracks in this year’s biggest trade are real, driven by alarming leverage in Korean ETFs and a shift in growth momentum from infrastructure to application layers. Memory chip-makers have surged over 200% this year, yet the Magnificent Seven Index is now down on the year, and Alphabet has tumbled 15% from its peak. As analyst Igor Pejic notes, the value is moving from chips and data centers to verticals like biotech and defense tech, meaning investors must avoid value traps in infrastructure players.
Market dynamics, including shallow liquidity and forced selling by volatility-control funds, are amplifying swings, but the bull market is not over. Goldman Sachs data shows long positions in AI themes were only at near six-month highs before the pullback, and the US economy remains healthy with strong earnings growth. Hedge funds have cut exposure to the Magnificent Seven to a one-year low, while market breadth turned positive even as the S&P 500 fell, signaling that selling is concentrated in Big Tech while other sectors attract buyers.
The margin for error is thinner, but the rally is not derailed—investors must now accept more rotation and volatility as the price of admission. AI infrastructure stocks are still expected to generate roughly half of S&P 500 earnings-per-share growth this year, and second-quarter earnings will be a key test. The ride gets rougher from here, with more air pockets in crowded corners, but none of this signals an exit—just a shift to a more selective, chop-filled market.
What to watch next: Whether second-quarter earnings for AI infrastructure stocks confirm sustained demand, and if rotation into application-layer companies like biotech and defense tech accelerates.
Key Takeaways
- The AI trade is shifting from a broad rally to a selective, volatile market requiring careful stock picking.
- Extreme leverage in Korean ETFs and shallow liquidity are amplifying selloffs, but not signaling a market top.
- Growth momentum is moving from AI infrastructure (chips, data centers) to application layers (biotech, defense tech).
- Market breadth is improving as Big Tech selling allows other sectors to gain, indicating a rotation rather than a collapse.
Insights & Analysis
- The AI trade is entering a maturity phase where early infrastructure winners may become value traps, while later-stage application companies capture more upside.
- The current volatility is a natural correction from extreme positioning, and the real test will be whether earnings growth broadens beyond a handful of mega-cap stocks.